Software Engineer, Machine Learning Infrastructure

About the Team

The GenAI Platform team builds the centralized AI infrastructure that powers every Generative AI use case at DoorDash — Search, Recommendations, Fraud, Chatbots, Merchant tools, and more. We are part of the Machine Learning Platform (MLP) org, which powers critical real-time decision-making for millions of orders each day.

Our team owns:

• LLM Gateway — unified access to OpenAI, Anthropic, Google, and open-weights models with cost attribution, guardrails, and multi-region deployment across DoorDash, Wolt, Deliveroo, and SevenRooms


• MCP Gateway — authentication, tool registry, and rate limiting for MCP servers across the company


• Agent Gateway — infrastructure for building and deploying AI agents with tool access, streaming, and observability


• Evals Platform — evals with human annotation, LLM-as-a-judge, auto-calibration, and custom use-case-specific UIs for human annotation and debugging


• Project Slingshot (Open-Weights Models) — fine-tuning, online inference, and batch inference for open-weights LLMs

We are a team of 6 engineers in a high-growth phase — every AI product team at DoorDash is building with GenAI and we need to scale our infrastructure to match.

About the Role

You will join the GenAI Platform team to build the foundational infrastructure layer that every AI product team at DoorDash depends on. You'll rotate across areas — agents, evals, open-weights models, and gateways — gaining broad exposure to the GenAI stack while going deep on the problems that matter most.

You're excited about this opportunity because you will…

• Use your backend, data, and ML infrastructure expertise to help build a high-quality GenAI platform


• Build and improve the reliability, scalability, and monitoring of our GenAI infrastructure, including the LLM Gateway, MCP Gateway, fine-tuning systems, and model serving


• Build scalable, high-performance ML pipelines — from retrieval (e.g., RAG) to batch inference — that adapt quickly to new technologies


• Develop an easy-to-use platform that supports fast iteration and deployment of products powered by Generative AI, including AI agents and evals


• Collaborate with ML Engineers and Product Engineers across DoorDash, Wolt, Deliveroo, and SevenRooms to evolve the platform for their use cases


• Shape the direction of DoorDash's centralized GenAI platform that supports all business functions

We're excited about you because…

• B.S., M.S., or Ph.D. in Computer Science or equivalent


• Strong backend engineering skills — you can design APIs, build reliable services, and reason about distributed systems


• Strong fundamentals in computer science and Python


• 2+ years of industry experience in software engineering


• Experience building and deploying machine learning systems in production


• Experience building infrastructure in cloud environments (AWS or GCP) — especially backend services at scale


• Comfortable using AI coding tools to move fast, while applying strong engineering judgment


• Problem solver who thrives on 0→1 initiatives and can navigate across multiple interconnected systems

Notice to Applicants for Jobs Located in NYC or Remote Jobs Associated With Office in NYC Only

We use Covey as part of our hiring and/or promotional process for jobs in NYC and certain features may qualify it as an AEDT in NYC. As part of the hiring and/or promotion process, we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound from August 21, 2023, through December 21, 2023, and resumed using Covey Scout for Inbound again on June 29, 2024.

The Covey tool has been reviewed by an independent auditor. Results of the audit may be viewed here: Covey

Compensation

The successful candidate's starting pay will fall within the pay range listed below and is determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Base salary is localized according to an employee’s work location. Ranges are market-dependent and may be modified in the future.

In addition to base salary, the compensation for this role includes opportunities for equity grants. Talk to your recruiter for more information.

DoorDash cares about you and your overall well-being. That’s why we offer a comprehensive benefits package to all regular employees, which includes a 401(k) plan with employer matching, 16 weeks of paid parental leave, wellness benefits, commuter benefits match, paid time off and paid sick leave in compliance with applicable laws (e.g. Colorado Healthy Families and Workplaces Act). DoorDash also offers medical, dental, and vision benefits, 11 paid holidays, disability and basic life insurance, family-forming assistance, and a mental health program, among others.

To learn more about our benefits, visit our careers page here .

See below for paid time off details:

• For salaried roles: flexible paid time off/vacation, plus 80 hours of paid sick time per year.


• For hourly roles: vacation accrued at about 1 hour for every 25.97 hours worked (e.g. about 6.7 hours/month if working 40 hours/week; about 3.4 hours/month if working 20 hours/week), and paid sick time accrued at 1 hour for every 30 hours worked (e.g. about 5.8 hours/month if working 40 hours/week; about 2.9 hours/month if working 20 hours/week).

The national base pay ranges for this position within the United States, including Illinois and Colorado.

I4

$130,600 - $192,000 USD

I5

$159,800 - $235,000 USD

I6

$193,800 - $285,000 USD

About DoorDash

At DoorDash, our mission to empower local economies shapes how our team members move quickly, learn, and reiterate in order to make impactful decisions that display empathy for our range of users—from Dashers to merchant partners to consumers. We are a technology and logistics company that started by enabling door-to-door delivery, and we are looking for team members who can help us go from a company that is known as the place you order food to a company that people turn to for any and all goods.

DoorDash is growing rapidly and changing constantly, which gives our team members the opportunity to share their unique perspectives, solve new challenges, and own their careers. We're committed to supporting employees’ happiness, healthiness, and overall well-being by providing comprehensive benefits and perks including premium healthcare, wellness expense reimbursement, paid parental leave and more.

Our Commitment to Diversity and Inclusion

We’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel.

Statement of Non-Discrimination: In keeping with our beliefs and goals, no employee or applicant will face discrimination or harassment based on: race, color, ancestry, national origin, religion, age, gender, marital/domestic partner status, sexual orientation, gender identity or expression, disability status, or veteran status. Above and beyond discrimination and harassment based on “protected categories,” we also strive to prevent other subtler forms of inappropriate behavior (i.e., stereotyping) from ever gaining a foothold in our office. Whether blatant or hidden, barriers to success have no place at DoorDash. We value a diverse workforce – people who identify as women, non-binary or gender non-conforming, LGBTQIA+, American Indian or Native Alaskan, Black or African American, Hispanic or Latinx, Native Hawaiian or Other Pacific Islander, differently-abled, caretakers and parents, and veterans are strongly encouraged to apply. Thank you to the Level Playing Field Institute for this statement of non-discrimination.

Pursuant to the San Francisco Fair Chance Ordinance, Los Angeles Fair Chance Initiative for Hiring Ordinance, and any other state or local hiring regulations, we will consider for employment any qualified applicant, including those with arrest and conviction records, in a manner consistent with the applicable regulation.

If you need any accommodations, please inform your recruiting contact upon initial connection.